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Convergence analysis for Feng's MCA neural network learning algorithm

Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2013-07-04

Included Journals: Scopus、EI

Volume: 7951 LNCS

Issue: PART 1

Page Number: 222-229

Abstract: The minor component analysis is widely used in many fields, such as signal processing and data analysis, so it has very important theoretical significance and practical values for the convergence analysis of these algorithms. In this paper we seek the convergence condition for Feng's MCA learning algorithm in deterministic discrete time system. Finally numerical experiments show the correctness of our theory. ? 2013 Springer-Verlag Berlin Heidelberg.

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